What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Operating system
Iterative reconstruction, Artificial intelligence, Computer vision, Imaging phantom and Algorithm are his primary areas of study.
Jianhua Ma interconnects Image processing, Markov random field, Energy, Tomography and Noise reduction in the investigation of issues within Iterative reconstruction.
His Artificial intelligence research integrates issues from Streak and Computed tomography.
His study explores the link between Computer vision and topics such as Regularization that cross with problems in Object.
His study looks at the relationship between Imaging phantom and fields such as Object detection, as well as how they intersect with chemical problems.
His research in Algorithm tackles topics such as Sparse matrix which are related to areas like Voxel.
His most cited work include:
- Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction. (168 citations)
- Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction. (168 citations)
- Sparse-view x-ray CT reconstruction via total generalized variation regularization. (145 citations)
What are the main themes of his work throughout his whole career to date?
Jianhua Ma mainly investigates Artificial intelligence, Iterative reconstruction, Computer vision, Algorithm and Imaging phantom.
Jianhua Ma regularly ties together related areas like Pattern recognition in his Artificial intelligence studies.
A large part of his Pattern recognition studies is devoted to Convolutional neural network.
His biological study spans a wide range of topics, including Image quality, Regularization, Projection, Tomography and Computed tomography.
The concepts of his Computer vision study are interwoven with issues in Streak and Medical imaging.
His research on Imaging phantom concerns the broader Nuclear medicine.
He most often published in these fields:
- Artificial intelligence (37.37%)
- Iterative reconstruction (30.07%)
- Computer vision (25.09%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (37.37%)
- Iterative reconstruction (30.07%)
- Pattern recognition (8.19%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Iterative reconstruction, Pattern recognition, Deep learning and Algorithm.
His studies examine the connections between Artificial intelligence and genetics, as well as such issues in Computer vision, with regards to Ct imaging.
His Iterative reconstruction research incorporates elements of Image quality, Radon transform, Projection, Imaging phantom and Computed tomography.
His Pattern recognition research includes elements of Low dose ct, Field, Radiomics, Image restoration and Receiver operating characteristic.
His studies deal with areas such as Supervised learning and Enhanced Data Rates for GSM Evolution as well as Deep learning.
Jianhua Ma has researched Algorithm in several fields, including Energy, Noise reduction and Filter.
Between 2017 and 2021, his most popular works were:
- Mobility Dataset Generation for Vehicular Social Networks Based on Floating Car Data (92 citations)
- Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction (51 citations)
- Radiomic signature of 18F fluorodeoxyglucose PET/CT for prediction of gastric cancer survival and chemotherapeutic benefits. (39 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Operating system
Jianhua Ma mainly focuses on Artificial intelligence, Iterative reconstruction, Computed tomography, Algorithm and Pattern recognition.
His work carried out in the field of Artificial intelligence brings together such families of science as Recall and Memorization.
His research on Iterative reconstruction also deals with topics like
- Image quality, which have a strong connection to Projection,
- Imaging phantom and related Perfusion.
His Computed tomography research is multidisciplinary, incorporating elements of Smoothing, Regularization, Streak and Cerebral perfusion pressure.
His Algorithm research incorporates themes from Tomography, Noise reduction and Energy.
Jianhua Ma has included themes like Radiomics, Robustness and Receiver operating characteristic in his Pattern recognition study.
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